Evidence map›Paper›PMID 35960428›Full record

SynthesisJournal of cancer survivorship : research and practice2023

Social media-based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials.

Li En Dana Siew, Neil Russell Teo, Wei How Darryl Ang, Ying Lau

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of cancer survivorship : research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The use of social media interventions for breast cancer survivors: a narrative review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  4. Evaluating How Patients with Thyroid Cancer Use Online Resources and Social Media to Access Health Information.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Li En Dana SiewNursing Department, Singapore General Hospital, Singapore, Singapore.
Neil Russell TeoNursing Department, Singapore General Hospital, Singapore, Singapore.
Wei How Darryl AngAlice Lee Centre for Nursing Studies, Clinical Research Centre, National University of Singapore, Level 2Block MD11, 10 Medical Drive, Singapore, 117597, Singapore.
Ying LauAlice Lee Centre for Nursing Studies, Clinical Research Centre, National University of Singapore, Level 2Block MD11, 10 Medical Drive, Singapore, 117597, Singapore. nurly@nus.edu.sg.ORCID 0000-0002-8289-3441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis review aimed to (1) evaluate the effectiveness of social media-based interventions for improving the quality of life, anxiety and depressive symptoms of patients with cancer at post-intervention and follow-up; (2) identify the essential features of social media-based interventions and (3) explore the covariates of the treatment effect.

methodsAll types of randomised controlled trials (RCTs) were included. Ten electronic databases, clinical trial registries and grey literature sources were searched from inception to 15 December 2021. Stata software was used to perform meta-analysis, subgroup analyses and meta-regression analyses. Individual quality assessment and certainty of evidence were assessed using Cochrane risk of bias tool version 1 and Grading of Recommendations Assessments, Development and Evaluation criteria, respectively.

resultsThis review included 43 RCTs, which comprised 6239 patients with a total mean age of 49.71 years old from across 11 countries. Social media-based interventions significantly improved the quality of life (g = 0.25, 95% CI = 0.05-0.45) and anxiety symptoms (g =  - 0.41, 95% CI =  - 0.76-0.07) but not depressive symptoms. The essential features based on the subgroup analysis concluded that using a mobile device with a flexible frequency had a remarkably greater effect on the quality of life and anxiety symptoms than their counterparts. The meta-regression showed the covariate features, where having more social media features in interventions significantly improved the quality of life (β = 0.21, p = 0.01). The certainty of evidence was very low for all outcomes.

conclusionsParticipants who received social media-based interventions may experience an increase in quality of life and reduction in anxiety symptoms. IMPLICATIONS FOR CANCER SURVIVORS: Social media-based interventions may complement usual care in improving quality of life and anxiety symptoms. Registration in PROSPERO CRD42022297956.

Indexed as

Cancer SurvivorsNeoplasmsSocial MediaAnxietyHumansMiddle AgedQuality of LifeRandomized Controlled Trials as TopicCancerMeta-analysisMeta-regressionRandomised controlled trialsSocial media

Identifiers

PMID35960428
PMCPMC9372974

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.